refactor: modularize audit and harden build validation
This commit is contained in:
@@ -0,0 +1,568 @@
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package platform
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import (
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"context"
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"fmt"
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"os"
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"os/exec"
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"sort"
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"strconv"
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"strings"
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)
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type NvidiaGPU struct {
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Index int `json:"index"`
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Name string `json:"name"`
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MemoryMB int `json:"memory_mb"`
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}
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type NvidiaGPUStatus struct {
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Index int `json:"index"`
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Name string `json:"name"`
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BDF string `json:"bdf,omitempty"`
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Serial string `json:"serial,omitempty"`
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Status string `json:"status"`
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RawLine string `json:"raw_line,omitempty"`
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NeedsReset bool `json:"needs_reset"`
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ParseFailure bool `json:"parse_failure,omitempty"`
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}
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type nvidiaGPUHealth struct {
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Index int
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Name string
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NeedsReset bool
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RawLine string
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ParseFailure bool
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}
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type nvidiaGPUStatusFile struct {
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Index int
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Name string
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RunStatus string
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Reason string
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Health string
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HealthRaw string
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Observed bool
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Selected bool
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FailingJob string
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}
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// AMDGPUInfo holds basic info about an AMD GPU from rocm-smi.
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type AMDGPUInfo struct {
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Index int `json:"index"`
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Name string `json:"name"`
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}
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// DetectGPUVendor returns "nvidia" if /dev/nvidia0 exists, "amd" if /dev/kfd exists, or "" otherwise.
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func (s *System) DetectGPUVendor() string {
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if _, err := os.Stat("/dev/nvidia0"); err == nil {
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return "nvidia"
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}
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if _, err := os.Stat("/dev/kfd"); err == nil {
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return "amd"
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}
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if raw, err := exec.Command("lspci", "-nn").Output(); err == nil {
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// Only match AMD GPU device classes [0300]=VGA, [0302]=3D controller, [0380]=Display.
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// AMD CPUs also appear in lspci as "Advanced Micro Devices" (Root Complex, IOMMU, etc.)
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// so matching vendor alone causes false positives on AMD CPU servers without GPUs.
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for _, line := range strings.Split(strings.ToLower(string(raw)), "\n") {
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if !strings.Contains(line, "advanced micro devices") && !strings.Contains(line, "amd/ati") {
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continue
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}
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if strings.Contains(line, "[0300]") || strings.Contains(line, "[0302]") || strings.Contains(line, "[0380]") {
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return "amd"
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}
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}
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}
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return ""
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}
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// PhysicalGPUVendors reports which supported vendors have a display-class PCI
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// function, regardless of driver state. It is used to distinguish absent
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// hardware from a PCI function whose runtime is not operational yet.
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func (s *System) PhysicalGPUVendors() (nvidia bool, amd bool) {
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raw, err := satExecCommand("lspci", "-nn").Output()
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if err != nil {
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return false, false
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}
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for _, line := range strings.Split(strings.ToLower(string(raw)), "\n") {
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// [0300]=VGA, [0302]=3D controller, [0380]=Display controller.
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if !strings.Contains(line, "[0300]") && !strings.Contains(line, "[0302]") && !strings.Contains(line, "[0380]") {
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continue
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}
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switch {
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case strings.Contains(line, "[10de:"):
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nvidia = true
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case strings.Contains(line, "[1002:"), strings.Contains(line, "advanced micro devices"), strings.Contains(line, "amd/ati"):
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amd = true
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}
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}
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return nvidia, amd
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}
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// ListAMDGPUs returns AMD GPUs visible to rocm-smi.
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func (s *System) ListAMDGPUs() ([]AMDGPUInfo, error) {
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out, err := runROCmSMI("--showproductname", "--csv")
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if err != nil {
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return nil, fmt.Errorf("rocm-smi: %w", err)
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}
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var gpus []AMDGPUInfo
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for _, line := range strings.Split(strings.TrimSpace(string(out)), "\n") {
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line = strings.TrimSpace(line)
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if line == "" || strings.HasPrefix(strings.ToLower(line), "device") {
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continue
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}
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parts := strings.SplitN(line, ",", 2)
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name := ""
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if len(parts) >= 2 {
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name = strings.TrimSpace(parts[1])
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}
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idx := len(gpus)
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gpus = append(gpus, AMDGPUInfo{Index: idx, Name: name})
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}
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return gpus, nil
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}
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// RunAMDAcceptancePack runs an AMD GPU diagnostic pack using rocm-smi.
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func (s *System) RunAMDAcceptancePack(ctx context.Context, baseDir string, logFunc func(string)) (string, error) {
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return runAcceptancePackCtx(ctx, baseDir, "gpu-amd", []satJob{
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{name: "01-rocm-smi.log", cmd: []string{"rocm-smi"}},
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{name: "02-rocm-smi-showallinfo.log", cmd: []string{"rocm-smi", "--showallinfo"}},
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{name: "03-dmidecode-baseboard.log", cmd: []string{"dmidecode", "-t", "baseboard"}},
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{name: "04-dmidecode-system.log", cmd: []string{"dmidecode", "-t", "system"}},
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}, logFunc)
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}
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// RunAMDMemIntegrityPack runs the official RVS MEM module as a validate-style memory integrity test.
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func (s *System) RunAMDMemIntegrityPack(ctx context.Context, baseDir string, logFunc func(string)) (string, error) {
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if err := ensureAMDRuntimeReady(); err != nil {
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return "", err
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}
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cfgFile := "/tmp/bee-amd-mem.conf"
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cfg := `actions:
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- name: mem_integrity
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device: all
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module: mem
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parallel: true
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duration: 60000
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copy_matrix: false
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target_stress: 90
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matrix_size: 8640
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`
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_ = os.WriteFile(cfgFile, []byte(cfg), 0644)
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return runAcceptancePackCtx(ctx, baseDir, "gpu-amd-mem", []satJob{
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{name: "01-rocm-smi.log", cmd: []string{"rocm-smi"}},
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{name: "02-rvs-mem.log", cmd: []string{"rvs", "-c", cfgFile}},
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{name: "03-rocm-smi-after.log", cmd: []string{"rocm-smi", "--showtemp", "--showpower", "--showmemuse", "--csv"}},
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}, logFunc)
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}
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// RunAMDMemBandwidthPack runs AMD's memory/interconnect bandwidth-oriented tools.
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func (s *System) RunAMDMemBandwidthPack(ctx context.Context, baseDir string, logFunc func(string)) (string, error) {
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if err := ensureAMDRuntimeReady(); err != nil {
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return "", err
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}
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cfgFile := "/tmp/bee-amd-babel.conf"
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cfg := `actions:
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- name: babel_mem_bw
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device: all
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module: babel
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parallel: true
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copy_matrix: true
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target_stress: 90
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matrix_size: 134217728
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`
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_ = os.WriteFile(cfgFile, []byte(cfg), 0644)
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return runAcceptancePackCtx(ctx, baseDir, "gpu-amd-bandwidth", []satJob{
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{name: "01-rocm-smi.log", cmd: []string{"rocm-smi"}},
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{name: "02-rocm-bandwidth-test.log", cmd: []string{"rocm-bandwidth-test"}},
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{name: "03-rvs-babel.log", cmd: []string{"rvs", "-c", cfgFile}},
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{name: "04-rocm-smi-after.log", cmd: []string{"rocm-smi", "--showtemp", "--showpower", "--showmemuse", "--csv"}},
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}, logFunc)
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}
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// RunAMDStressPack runs an AMD GPU burn-in pack.
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// Missing tools are reported as UNSUPPORTED, consistent with the existing SAT pattern.
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func (s *System) RunAMDStressPack(ctx context.Context, baseDir string, durationSec int, logFunc func(string)) (string, error) {
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seconds := durationSec
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if seconds <= 0 {
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seconds = envInt("BEE_AMD_STRESS_SECONDS", 300)
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}
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if err := ensureAMDRuntimeReady(); err != nil {
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return "", err
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}
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// Enable copy_matrix so the same GST run drives VRAM traffic in addition to compute.
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rvsCfg := amdStressRVSConfig(seconds)
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cfgFile := "/tmp/bee-amd-gst.conf"
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_ = os.WriteFile(cfgFile, []byte(rvsCfg), 0644)
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return runAcceptancePackCtx(ctx, baseDir, "gpu-amd-stress", amdStressJobs(seconds, cfgFile), logFunc)
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}
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func amdStressRVSConfig(seconds int) string {
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return fmt.Sprintf(`actions:
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- name: gst_stress
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device: all
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module: gst
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parallel: true
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duration: %d
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copy_matrix: false
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target_stress: 90
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matrix_size_a: 8640
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matrix_size_b: 8640
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matrix_size_c: 8640
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`, seconds*1000)
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}
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func amdStressJobs(seconds int, cfgFile string) []satJob {
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return []satJob{
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{name: "01-rocm-smi.log", cmd: []string{"rocm-smi"}},
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{name: "02-rocm-bandwidth-test.log", cmd: []string{"rocm-bandwidth-test"}},
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{name: fmt.Sprintf("03-rvs-gst-%ds.log", seconds), cmd: []string{"rvs", "-c", cfgFile}},
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{name: fmt.Sprintf("04-rocm-smi-after.log"), cmd: []string{"rocm-smi", "--showtemp", "--showpower", "--csv"}},
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}
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}
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// ListNvidiaGPUs returns GPUs visible to nvidia-smi.
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func (s *System) ListNvidiaGPUs() ([]NvidiaGPU, error) {
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out, err := exec.Command("nvidia-smi",
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"--query-gpu=index,name,memory.total",
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"--format=csv,noheader,nounits").Output()
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if err != nil {
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return nil, fmt.Errorf("nvidia-smi: %w", err)
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}
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var gpus []NvidiaGPU
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for _, line := range strings.Split(strings.TrimSpace(string(out)), "\n") {
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line = strings.TrimSpace(line)
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if line == "" {
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continue
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}
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parts := strings.SplitN(line, ", ", 3)
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if len(parts) != 3 {
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continue
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}
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idx, err := strconv.Atoi(strings.TrimSpace(parts[0]))
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if err != nil {
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continue
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}
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memMB, _ := strconv.Atoi(strings.TrimSpace(parts[2]))
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gpus = append(gpus, NvidiaGPU{
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Index: idx,
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Name: strings.TrimSpace(parts[1]),
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MemoryMB: memMB,
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})
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}
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sort.Slice(gpus, func(i, j int) bool {
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return gpus[i].Index < gpus[j].Index
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})
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return gpus, nil
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}
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func (s *System) ListNvidiaGPUStatuses() ([]NvidiaGPUStatus, error) {
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out, err := satExecCommand(
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"nvidia-smi",
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"--query-gpu=index,name,pci.bus_id,serial,temperature.gpu,power.draw,utilization.gpu,memory.used,memory.total",
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"--format=csv,noheader,nounits",
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).Output()
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if err != nil {
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return nil, fmt.Errorf("nvidia-smi: %w", err)
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}
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var gpus []NvidiaGPUStatus
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for _, line := range strings.Split(strings.TrimSpace(string(out)), "\n") {
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line = strings.TrimSpace(line)
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if line == "" {
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continue
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}
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parts := strings.Split(line, ",")
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if len(parts) < 4 {
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gpus = append(gpus, NvidiaGPUStatus{RawLine: line, Status: "UNKNOWN", ParseFailure: true})
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continue
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}
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idx, err := strconv.Atoi(strings.TrimSpace(parts[0]))
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if err != nil {
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gpus = append(gpus, NvidiaGPUStatus{RawLine: line, Status: "UNKNOWN", ParseFailure: true})
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continue
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}
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upper := strings.ToUpper(line)
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needsReset := strings.Contains(upper, "GPU REQUIRES RESET")
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status := "OK"
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if needsReset {
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status = "RESET_REQUIRED"
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}
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gpus = append(gpus, NvidiaGPUStatus{
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Index: idx,
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Name: strings.TrimSpace(parts[1]),
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BDF: normalizeNvidiaBusID(strings.TrimSpace(parts[2])),
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Serial: strings.TrimSpace(parts[3]),
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Status: status,
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RawLine: line,
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NeedsReset: needsReset,
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})
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}
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sort.Slice(gpus, func(i, j int) bool { return gpus[i].Index < gpus[j].Index })
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return gpus, nil
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}
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func normalizeNvidiaBusID(v string) string {
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v = strings.TrimSpace(strings.ToLower(v))
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parts := strings.Split(v, ":")
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if len(parts) == 3 && len(parts[0]) > 4 {
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parts[0] = parts[0][len(parts[0])-4:]
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return strings.Join(parts, ":")
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}
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return v
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}
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func (s *System) ResetNvidiaGPU(index int) (string, error) {
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return resetNvidiaGPU(index)
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}
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// RunNCCLTests runs nccl-tests all_reduce_perf across the selected NVIDIA GPUs.
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// Measures collective communication bandwidth over NVLink/PCIe.
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func (s *System) RunNCCLTests(ctx context.Context, baseDir string, gpuIndices []int, logFunc func(string)) (string, error) {
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selected, err := resolveDCGMGPUIndices(gpuIndices)
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if err != nil {
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return "", err
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}
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gpuCount := len(selected)
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if gpuCount < 1 {
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gpuCount = 1
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}
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return runAcceptancePackCtx(ctx, baseDir, "nccl-tests", withNvidiaPersistenceMode(
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satJob{name: "01-nvidia-smi-q.log", cmd: []string{"nvidia-smi", "-q"}},
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satJob{name: "02-all-reduce-perf.log", cmd: []string{
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"all_reduce_perf", "-b", "512M", "-e", "4G", "-f", "2",
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"-g", strconv.Itoa(gpuCount), "--iters", "20",
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}, env: nvidiaVisibleDevicesEnv(selected), syncBracket: true},
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), logFunc)
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}
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func (s *System) RunNvidiaOfficialComputePack(ctx context.Context, baseDir string, durationSec int, gpuIndices []int, staggerSec int, logFunc func(string)) (string, error) {
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selected, err := resolveDCGMGPUIndices(gpuIndices)
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if err != nil {
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return "", err
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}
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var (
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profCmd []string
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profEnv []string
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)
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if len(selected) > 1 {
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// For multiple GPUs, always spawn one dcgmproftester process per GPU via
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// bee-dcgmproftester-staggered (stagger=0 means all start simultaneously).
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// A single dcgmproftester process without -i only loads GPU 0 regardless
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// of CUDA_VISIBLE_DEVICES.
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stagger := staggerSec
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if stagger < 0 {
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stagger = 0
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}
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profCmd = []string{
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"bee-dcgmproftester-staggered",
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"--seconds", strconv.Itoa(normalizeNvidiaBurnDuration(durationSec)),
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"--stagger-seconds", strconv.Itoa(stagger),
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"--devices", joinIndexList(selected),
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}
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} else {
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profCmd, err = resolveDCGMProfTesterCommand("--no-dcgm-validation", "-t", "1004", "-d", strconv.Itoa(normalizeNvidiaBurnDuration(durationSec)))
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if err != nil {
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return "", err
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}
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profEnv = nvidiaVisibleDevicesEnv(selected)
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}
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return runAcceptancePackCtx(ctx, baseDir, "gpu-nvidia-compute", withNvidiaPersistenceMode(
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satJob{name: "01-nvidia-smi-q.log", cmd: []string{"nvidia-smi", "-q"}},
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satJob{name: "02-dcgmi-version.log", cmd: []string{"dcgmi", "-v"}},
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satJob{
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name: "03-dcgmproftester.log",
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cmd: profCmd,
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env: profEnv,
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collectGPU: true,
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gpuIndices: selected,
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syncBracket: true,
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},
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satJob{name: "04-nvidia-smi-after.log", cmd: []string{"nvidia-smi", "--query-gpu=index,name,temperature.gpu,power.draw,utilization.gpu,memory.used,memory.total", "--format=csv,noheader,nounits"}},
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), logFunc)
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}
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func (s *System) RunNvidiaTargetedPowerPack(ctx context.Context, baseDir string, durationSec int, gpuIndices []int, logFunc func(string)) (string, error) {
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selected, err := resolveDCGMGPUIndices(gpuIndices)
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if err != nil {
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return "", err
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}
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// Kill any lingering nvvs/dcgmi processes from a previous interrupted run
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// before starting — otherwise dcgmi diag fails with DCGM_ST_IN_USE (-34).
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if killed := KillTestWorkers(); len(killed) > 0 && logFunc != nil {
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for _, p := range killed {
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logFunc(fmt.Sprintf("pre-flight: killed stale worker pid=%d name=%s", p.PID, p.Name))
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}
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}
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return runAcceptancePackCtx(ctx, baseDir, "gpu-nvidia-targeted-power", withNvidiaPersistenceMode(
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satJob{name: "01-nvidia-smi-q.log", cmd: []string{"nvidia-smi", "-q"}},
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satJob{name: "02-dcgmi-discovery.log", cmd: []string{"dcgmi", "discovery", "-l"}, informational: true, retries: 2},
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satJob{
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name: "03-dcgmi-targeted-power.log",
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cmd: nvidiaDCGMNamedDiagCommand("targeted_power", normalizeNvidiaBurnDuration(durationSec), selected),
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collectGPU: true,
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gpuIndices: selected,
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syncBracket: true,
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},
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satJob{name: "04-nvidia-smi-after.log", cmd: []string{"nvidia-smi", "--query-gpu=index,name,temperature.gpu,power.draw,utilization.gpu,memory.used,memory.total", "--format=csv,noheader,nounits"}},
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), logFunc)
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}
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func (s *System) RunNvidiaPulseTestPack(ctx context.Context, baseDir string, durationSec int, gpuIndices []int, logFunc func(string)) (string, error) {
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selected, err := resolveDCGMGPUIndices(gpuIndices)
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if err != nil {
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return "", err
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}
|
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// Kill any lingering nvvs/dcgmi processes from a previous interrupted run
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||||
// before starting — otherwise dcgmi diag fails with DCGM_ST_IN_USE (-34).
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if killed := KillTestWorkers(); len(killed) > 0 && logFunc != nil {
|
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for _, p := range killed {
|
||||
logFunc(fmt.Sprintf("pre-flight: killed stale worker pid=%d name=%s", p.PID, p.Name))
|
||||
}
|
||||
}
|
||||
return runAcceptancePackCtx(ctx, baseDir, "gpu-nvidia-pulse", withNvidiaPersistenceMode(
|
||||
satJob{name: "01-nvidia-smi-q.log", cmd: []string{"nvidia-smi", "-q"}},
|
||||
satJob{name: "02-dcgmi-discovery.log", cmd: []string{"dcgmi", "discovery", "-l"}, informational: true, retries: 2},
|
||||
satJob{
|
||||
name: "03-dcgmi-pulse-test.log",
|
||||
cmd: nvidiaDCGMNamedDiagCommand("pulse_test", normalizeNvidiaBurnDuration(durationSec), selected),
|
||||
collectGPU: true,
|
||||
gpuIndices: selected,
|
||||
syncBracket: true,
|
||||
},
|
||||
satJob{name: "04-nvidia-smi-after.log", cmd: []string{"nvidia-smi", "--query-gpu=index,name,temperature.gpu,power.draw,utilization.gpu,memory.used,memory.total", "--format=csv,noheader,nounits"}},
|
||||
), logFunc)
|
||||
}
|
||||
|
||||
// RunNvidiaBandwidthPack runs `dcgmi diag -r nvbandwidth`. The only thing
|
||||
// fullMatrix changes is which GPU sets each invocation gets via `-i`:
|
||||
//
|
||||
// - fullMatrix=false (Validate): a single pass across every selected GPU.
|
||||
// - fullMatrix=true (deep/Stress): on a system whose GPUs span more than
|
||||
// one CPU socket, one pass per socket group and then one pass across all
|
||||
// of them, isolating the cross-socket peer-to-peer path as its own
|
||||
// fault domain (see bible-local/decisions/2026-07-27-nvbandwidth-per-socket-split.md).
|
||||
// Single-socket systems collapse back to one pass.
|
||||
func (s *System) RunNvidiaBandwidthPack(ctx context.Context, baseDir string, gpuIndices []int, fullMatrix bool, logFunc func(string)) (string, error) {
|
||||
selected, err := resolveDCGMGPUIndices(gpuIndices)
|
||||
if err != nil {
|
||||
return "", err
|
||||
}
|
||||
// Kill any lingering nvvs/dcgmi processes from a previous interrupted run
|
||||
// before starting — otherwise dcgmi diag fails with DCGM_ST_IN_USE (-34).
|
||||
if killed := KillTestWorkers(); len(killed) > 0 && logFunc != nil {
|
||||
for _, p := range killed {
|
||||
logFunc(fmt.Sprintf("pre-flight: killed stale worker pid=%d name=%s", p.PID, p.Name))
|
||||
}
|
||||
}
|
||||
jobs := []satJob{
|
||||
{name: "01-nvidia-smi-q.log", cmd: []string{"nvidia-smi", "-q"}},
|
||||
{name: "02-dcgmi-discovery.log", cmd: []string{"dcgmi", "discovery", "-l"}, informational: true, retries: 2},
|
||||
}
|
||||
|
||||
// On a system with GPUs on more than one CPU socket, run each socket's
|
||||
// GPUs through nvbandwidth in isolation before the all-GPU pass. Without
|
||||
// NVLink, cross-socket peer-to-peer traffic is a distinct fault domain
|
||||
// from same-socket traffic; if the single-socket passes log clean and
|
||||
// only the all-GPU pass doesn't complete, that isolates the cross-socket
|
||||
// path as the trigger instead of leaving it conflated with a general
|
||||
// GPU/PCIe fault. Systems with one socket (or no resolvable NUMA
|
||||
// affinity) get a single group back and keep the original one-pass shape.
|
||||
step := 3
|
||||
socketGroups := [][]int{selected}
|
||||
if fullMatrix {
|
||||
socketGroups = gpuBandwidthSocketGroups(selected, logFunc)
|
||||
}
|
||||
if len(socketGroups) <= 1 {
|
||||
jobs = append(jobs, satJob{
|
||||
name: fmt.Sprintf("%02d-dcgmi-nvbandwidth.log", step),
|
||||
cmd: nvidiaDCGMNamedDiagCommand("nvbandwidth", 0, selected),
|
||||
collectGPU: true,
|
||||
gpuIndices: selected,
|
||||
syncBracket: true,
|
||||
})
|
||||
step++
|
||||
} else {
|
||||
for i, group := range socketGroups {
|
||||
jobs = append(jobs, satJob{
|
||||
name: fmt.Sprintf("%02d-dcgmi-nvbandwidth-socket%d.log", step, i),
|
||||
cmd: nvidiaDCGMNamedDiagCommand("nvbandwidth", 0, group),
|
||||
collectGPU: true,
|
||||
gpuIndices: group,
|
||||
syncBracket: true,
|
||||
})
|
||||
step++
|
||||
}
|
||||
jobs = append(jobs, satJob{
|
||||
name: fmt.Sprintf("%02d-dcgmi-nvbandwidth-all.log", step),
|
||||
cmd: nvidiaDCGMNamedDiagCommand("nvbandwidth", 0, selected),
|
||||
collectGPU: true,
|
||||
gpuIndices: selected,
|
||||
syncBracket: true,
|
||||
})
|
||||
step++
|
||||
}
|
||||
jobs = append(jobs, satJob{
|
||||
name: fmt.Sprintf("%02d-nvidia-smi-after.log", step),
|
||||
cmd: []string{"nvidia-smi", "--query-gpu=index,name,temperature.gpu,power.draw,utilization.gpu,memory.used,memory.total", "--format=csv,noheader,nounits"},
|
||||
})
|
||||
|
||||
return runAcceptancePackCtx(ctx, baseDir, "gpu-nvidia-bandwidth", withNvidiaPersistenceMode(jobs...), logFunc)
|
||||
}
|
||||
|
||||
func (s *System) RunNvidiaAcceptancePack(baseDir string, logFunc func(string)) (string, error) {
|
||||
return runAcceptancePackCtx(context.Background(), baseDir, "gpu-nvidia", nvidiaSATJobs(), logFunc)
|
||||
}
|
||||
|
||||
// RunNvidiaAcceptancePackWithOptions runs the NVIDIA diagnostics via DCGM.
|
||||
// diagLevel: 1=quick, 2=medium, 3=targeted stress, 4=extended stress.
|
||||
// gpuIndices: specific GPU indices to test (empty = all GPUs).
|
||||
// ctx cancellation kills the running job.
|
||||
func (s *System) RunNvidiaAcceptancePackWithOptions(ctx context.Context, baseDir string, diagLevel int, gpuIndices []int, logFunc func(string)) (string, error) {
|
||||
resolvedGPUIndices, err := resolveDCGMGPUIndices(gpuIndices)
|
||||
if err != nil {
|
||||
return "", err
|
||||
}
|
||||
return runAcceptancePackCtx(ctx, baseDir, "gpu-nvidia", nvidiaDCGMJobs(diagLevel, resolvedGPUIndices), logFunc)
|
||||
}
|
||||
|
||||
func (s *System) RunNvidiaTargetedStressValidatePack(ctx context.Context, baseDir string, durationSec int, gpuIndices []int, logFunc func(string)) (string, error) {
|
||||
selected, err := resolveDCGMGPUIndices(gpuIndices)
|
||||
if err != nil {
|
||||
return "", err
|
||||
}
|
||||
// Kill any lingering nvvs/dcgmi processes from a previous interrupted run
|
||||
// before starting — otherwise dcgmi diag fails with DCGM_ST_IN_USE (-34).
|
||||
if killed := KillTestWorkers(); len(killed) > 0 && logFunc != nil {
|
||||
for _, p := range killed {
|
||||
logFunc(fmt.Sprintf("pre-flight: killed stale worker pid=%d name=%s", p.PID, p.Name))
|
||||
}
|
||||
}
|
||||
return runAcceptancePackCtx(ctx, baseDir, "gpu-nvidia-targeted-stress", withNvidiaPersistenceMode(
|
||||
satJob{name: "01-nvidia-smi-q.log", cmd: []string{"nvidia-smi", "-q"}},
|
||||
satJob{name: "02-dcgmi-discovery.log", cmd: []string{"dcgmi", "discovery", "-l"}, informational: true, retries: 2},
|
||||
satJob{
|
||||
name: "03-dcgmi-targeted-stress.log",
|
||||
cmd: nvidiaDCGMNamedDiagCommand("targeted_stress", normalizeNvidiaBurnDuration(durationSec), selected),
|
||||
collectGPU: true,
|
||||
gpuIndices: selected,
|
||||
syncBracket: true,
|
||||
},
|
||||
satJob{name: "04-nvidia-smi-after.log", cmd: []string{"nvidia-smi", "--query-gpu=index,name,temperature.gpu,power.draw,utilization.gpu,memory.used,memory.total", "--format=csv,noheader,nounits"}},
|
||||
), logFunc)
|
||||
}
|
||||
|
||||
func resolveDCGMGPUIndices(gpuIndices []int) ([]int, error) {
|
||||
if len(gpuIndices) > 0 {
|
||||
return dedupeSortedIndices(gpuIndices), nil
|
||||
}
|
||||
all, err := listNvidiaGPUIndices()
|
||||
if err != nil {
|
||||
return nil, err
|
||||
}
|
||||
if len(all) == 0 {
|
||||
return nil, fmt.Errorf("nvidia-smi found no NVIDIA GPUs")
|
||||
}
|
||||
return all, nil
|
||||
}
|
||||
Reference in New Issue
Block a user